Clinical, Laboratory, and Chest CT Scan Prognostic Factors for COVID-19 Mortality Cases

Jalalvand, Dina; Akbari, Fatemeh; Pirsalehi, Ali; Dehghan, Pooneh; Nejadghaderi, Seyed Aria; Jaliliankhave, Laya; Hasanzadeh, Taha; Sanadgol, Ghazal; Shirini, Dorsa; Eslami, Zeinab

doi:10.30491/tm.2021.310669.1386

Clinical, Laboratory, and Chest CT Scan Prognostic Factors for COVID-19 Mortality Cases

Document Type : Original Article

Authors

Dina Jalalvand ¹

Fatemeh Akbari ¹

Ali Pirsalehi ²

Pooneh Dehghan ¹

Seyed Aria Nejadghaderi ³

Laya Jaliliankhave ³

Taha Hasanzadeh ³

Ghazal Sanadgol ³

Dorsa Shirini ³

Zeinab Eslami ¹

¹ Radiology department, Taleghani hospital, Shahid Beheshti University of medical sciences, Tehran, Iran

² Internal medicine department, school of medicine, Shahid Beheshti University of medical sciences, Tehran, Iran

³ School of medicine, Shahid Beheshti University of medical sciences, Tehran, Iran

10.30491/tm.2021.310669.1386

Abstract

Introduction: World Health Organization (WHO) declared a novel HCoVs (COVID-19) to be a public health emergency of international concern on 30 January, 2020. Typical clinical symptoms of patients include fever, dry cough, breathing difficulties (dyspnea). CT is the most sensitive radiological technique for the diagnosis of COVID-19, showing spectrum of lung features. The purpose of this study was to investigate clinical and laboratory outcomes and chest CT futures of patients to recognize prognostic factors for COVID-19.
Methods: Clinical and laboratory findings and chest CT futures were evaluated from 226 admitted patients with the initial diagnosis of COVID-19 who were recovered or died due to the disease and its complications. The association between vital status and categorical variables was evaluated. The single and multiple logistic models were used for assessing the impact of study variables on the hazard of occurring death.
Results: The prediction power of some variables were significant. The highest AUCs were observed for GGO pattern, age, lymphocyte count, Creatinine, CRP, LDH, and Systolic Blood Pressure. This study was reached an accurate for predicting vital status among COVID-19 patients.
Conclusion: In this study, we evaluated and presented CT feature parameters as well as clinical and laboratory markers as a model that predicts vital status among COVID-19 patients.

Keywords

COVID-19

Mortality

Computed Tomography

Ground-Glass Opacity